Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Keys, Kevin L."'
Autor:
Zhou, Hua, Sinsheimer, Janet S., German, Christopher A., Ji, Sarah S., Bates, Douglas M., Chu, Benjamin B., Keys, Kevin L., Kim, Juhyun, Ko, Seyoon, Mosher, Gordon D., Papp, Jeanette C., Sobel, Eric M., Zhai, Jing, Zhou, Jin J., Lange, Kenneth
Publikováno v:
Human Genetics, pp 1-11, 2019 Mar 26
Statistical methods for genomewide association studies (GWAS) continue to improve. However, the increasing volume and variety of genetic and genomic data make computational speed and ease of data manipulation mandatory in future software. In our view
Externí odkaz:
http://arxiv.org/abs/1902.05189
Autor:
Landeros, Alfonso, Stutz, Timothy, Keys, Kevin L., Alekseyenko, Alexander, Sinsheimer, Janet S., Lange, Kenneth, Sehl, Mary
Publikováno v:
Computer Methods and Programs in Biomedicine, Volume 167, December 2018, Pages 23-35
Biological systems with intertwined feedback loops pose a challenge to mathematical modeling efforts. Moreover, rare events, such as mutation and extinction, complicate system dynamics. Stochastic simulation algorithms are useful in generating time-e
Externí odkaz:
http://arxiv.org/abs/1811.12499
Publikováno v:
Genetic Epidemiology 2017:41(8), 756--768
A genome-wide association study (GWAS) correlates marker variation with trait variation in a sample of individuals. Each study subject is genotyped at a multitude of SNPs (single nucleotide polymorphisms) spanning the genome. Here we assume that subj
Externí odkaz:
http://arxiv.org/abs/1608.01398
Publikováno v:
Journal of Machine Learning Research 20:66, 1-38, 2009
Proximal distance algorithms combine the classical penalty method of constrained minimization with distance majorization. If $f(\boldsymbol{x})$ is the loss function, and $C$ is the constraint set in a constrained minimization problem, then the proxi
Externí odkaz:
http://arxiv.org/abs/1604.05694
Autor:
Lange, Kenneth, Keys, Kevin L.
Publikováno v:
In Proceedings of the 2014 International Congress of Mathematicians. Seoul: Kyung Moon, 4:95-116
The MM principle is a device for creating optimization algorithms satisfying the ascent or descent property. The current survey emphasizes the role of the MM principle in nonlinear programming. For smooth functions, one can construct an adaptive inte
Externí odkaz:
http://arxiv.org/abs/1507.07598
Autor:
Lee, Eunice Y., Oh, Sam S., White, Marquitta J., Eng, Celeste S., Elhawary, Jennifer R., Borrell, Luisa N., Nuckton, Thomas J., Zeiger, Andrew M., Keys, Kevin L., Mak, Angel C.Y., Hu, Donglei, Huntsman, Scott, Contreras, Maria G., Samedy, Lesly-Anne, Goddard, Pagé C., Salazar, Sandra L., Brigino-Buenaventura, Emerita N., Davis, Adam, Meade, Kelley E., LeNoir, Michael A., Lurmann, Fred W., Burchard, Esteban G., Eisen, Ellen A., Balmes, John R.
Publikováno v:
In The Journal of Allergy and Clinical Immunology September 2019 144(3):839-845
Akademický článek
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Akademický článek
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Autor:
Keys, Kevin L.1,2 (AUTHOR) klkeys@g.ucla.edu, Mak, Angel C. Y.1 (AUTHOR), White, Marquitta J.1 (AUTHOR), Eckalbar, Walter L.1 (AUTHOR), Dahl, Andrew W.1 (AUTHOR), Mefford, Joel1 (AUTHOR), Mikhaylova, Anna V.3 (AUTHOR), Contreras, María G.1,4 (AUTHOR), Elhawary, Jennifer R.1 (AUTHOR), Eng, Celeste1 (AUTHOR), Hu, Donglei1 (AUTHOR), Huntsman, Scott1 (AUTHOR), Oh, Sam S.1 (AUTHOR), Salazar, Sandra1 (AUTHOR), Lenoir, Michael A.5 (AUTHOR), Ye, Jimmie C.6,7 (AUTHOR), Thornton, Timothy A.3 (AUTHOR), Zaitlen, Noah8 (AUTHOR), Burchard, Esteban G.1,7 (AUTHOR), Gignoux, Christopher R.9,10 (AUTHOR) klkeys@g.ucla.edu
Publikováno v:
PLoS Genetics. 8/14/2020, Vol. 16 Issue 8, p1-28. 28p.
Autor:
Chu, Benjamin B1 (AUTHOR), Keys, Kevin L2,3 (AUTHOR), German, Christopher A4 (AUTHOR), Zhou, Hua4 (AUTHOR), Zhou, Jin J5 (AUTHOR), Sobel, Eric M1,6 (AUTHOR), Sinsheimer, Janet S1,4,6 (AUTHOR) jsinshei@ucla.edu, Lange, Kenneth1,6 (AUTHOR) klange@ucla.edu
Publikováno v:
GigaScience. Jun2020, Vol. 9 Issue 6, p1-13. 13p.